Plan UA budgets, model growth scenarios, and forecast revenue with 94%+ accurate D365 LTV predictions. Built for CFOs, FP&A, and finance leads at mobile gaming studios.
Mobile gaming has multi-year payback windows, cohort-driven economics, and ad/IAP/subscription revenue mixes that don't fit standard SaaS or B2B FP&A frameworks. Spreadsheets break under the weight of cohort tables. Generic FP&A tools weren't built for cohort-based UA economics, so finance teams end up re-modelling LTV by hand every quarter.
Kmnd was built for this: a cohort-based forecasting and budgeting platform that thinks the way mobile gaming finance teams actually need to think. LTV is predicted, not assumed. Forecasts re-run continuously. Plans are defensible at the board level because the underlying models have been calibrated against $6bn+ of industry UA spend.
94%+ accurate D365 forecasts. Campaign, geo, and title-level granularity. Confidence intervals on every prediction so finance teams know what to trust.
Model UA budget scenarios across multiple titles. Compare aggressive vs. conservative growth strategies. Pressure-test plans before committing capital.
As new cohort data arrives, Kmnd updates forecasts continuously. Your board deck doesn't go stale a week after you build it.
Designed for board reporting, fundraising, and M&A diligence. The same models underwrite $12bn+ in mobile gaming transactions through Kohort's advisory practice.
Build defensible, cohort-driven plans. Re-forecast continuously. Hand the board numbers you can stand behind.
Replace fragile UA spreadsheets with cohort-based models. Spend less time rebuilding forecasts, more time analysing them.
Underwrite mobile gaming investments with the same forecasting infrastructure used by 300+ studios. See /diligence for advisory engagements.
Kohort works with 300+ studios. See published customer case studies.
Tools like Anaplan, Cube, and Pigment are general-purpose FP&A platforms. They give you a flexible modelling environment, but you bring your own assumptions about LTV, retention, and payback. For most B2B SaaS that's fine. For mobile gaming, the cohort dynamics are too specific.
Kmnd is purpose-built for mobile gaming. Cohort-based forecasting is the foundation, not a feature you bolt on. The models are trained on $6bn+ of UA spend across 300+ titles. You don't bring your own assumptions about D365 LTV. Kmnd predicts them, with confidence intervals, calibrated against industry data.
“The accuracy of Ktrl's predictions and recommendations has fundamentally changed how we allocate budget.”
Talk to us about how Kmnd can replace your UA forecasting spreadsheets with cohort-based models trained on $6bn of UA spend.